The Shape of Good Model Fit

Correlation matrices intuitively represent variable associations and are central to statistical modeling. Good model fit often depends on specific correlation patterns, but this relationship is not straightforward. We explore how some models achieve good fit despite unexpected correlation structures, challenging assumptions about the connection between fit and underlying data patterns.